With the AI race in full swing, big tech is constantly on the lookout to make custom chips that are able to compete with or offer alternatives to NVIDIA's pricey and short-in-supply GPUs. Google's Tensor Processing Units (TPUs) and Amazon's Trainium chips are among several that rely on less power consumption and costs to augment NVIDIA's products in AI computing. Now, a report from Morgan Stanley claims that Google's new TPU chips will be tailored to its Gemini models and eliminate the need for TSMC's chip-on-wafer-on-substrate (CoWoS) chip packaging technology. Google Is Considering To Place New TPU Chip's RAM Directly […]
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